Introduction Algorithmic Trading

Introduction Algorithmic Trading

In this course we introduce traders into how to leverage algorithmic trading, backtesting and optimizers to improve trading performance. We introduce a diverse portfolio of tools (platforms, algo indicators, strategies, strategy optimizers, and portfolio allocation) across various platforms (Interactive Brokers, TradingView, TradeStation, TD Ameritrade, Alpaca) depending on the individual requirements of the customer. All the tools are designed with retail trading in consideration, but also capable of executing across the most demanding of institutional specifications.

Back-testing is core to this course and algorithmic trading in general. Our team is lead by experienced High Frequency Traders who have built complex trade order management and execution systems for Tier 1 Banks along with Hedge Funds. Predictability and consistency can only be achieved when traders have insights into historical trading trends.

The lastest platform release that will be covered, leverages the power of genetic algorithms in combination with our robust 15-indicator script to identify patterns quickly with accuracy. Run through thousands of input combinations for a clear indication of which settings delivered optimal profitability rates or profit factor. We include both models of optimization, should a trader be focused on a high return / high risk vs lower returns / lower risk allocation strategy.

Topics of Discussion:

▶ Trading To Multiple Brokers
▶ Real-Time Market Data
▶ One-Click Optimizer (Genetic)

▶ Clear Buy / Short Signals

▶ Institutional Trades Tracked
▶ Adjustable to Stock Volatility
▶ Selectable Base Technical Indicator
▶ Support / Resistance Levels

▶ Machine Learning Price Forecast

Trading simplified for both Beginners & Experts.

Url: View Details

What you will learn

• How to use Algorithmic Trading from UltraAlgo
• How to identify Stock Resistance & Support Lines
• Where to track Institutional Trades (Market Makers)

Rating: 5

Level: All Levels

Duration: 43 mins

Instructor: Alejandro Antonini